科研项目

项目列表


Vehicle Type and Plate Recognition


车型和车牌识别


Introduction

Two vehicle type classification methods are proposed, one is based on convolutional neural network, the other is based on appearance and structural feature distributions. Besides, a vision-based vehicle plate detection and recognition method is proposed.

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Papers

1. DONG Zhen, WU Yuwei, PEI Mingtao, and JIA Yunde. Vehicle Type Classification Using a Semisupervised Convolutional Neural Network. IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2015, 16(4): 2247-2256. [PDF]

2. DONG Zhen, PEI Mingtao, HE Yang, LIU Ting, DONG Yanmei, and JIA Yunde. Vehicle Type Classification Using Unsupervised Convolutional Neural Network. IEEE International Conference on Pattern Recognition (ICPR), 2014. [PDF]

3. DONG Zhen, JIA Yunde. Vehicle Type Classification Using Distributions of Structural and Appearance-Based Features. 20th IEEE International Conference on Image Processing (ICIP), 4321-4324, 2013. [PDF]

4. 王永杰, 裴明涛, 贾云得.多信息融合的快速车牌定位. 中国图像图形学报, 2014, 19(3). [PDF]

5. 裴明涛, 王永杰, 贾云得, 郭志强. 基于多尺度模板匹配和部件模型的车牌字符分割方法. 北京理工大学学报,2013.03. [PDF]

6. 郭志强, 王永杰, 董震, 裴明涛, 贾云得. 基于成对形态学算子的车牌定位方法. 第十六届全国图象图形学学术会议, 2012.07.